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diffusion mri  (Philips Healthcare)

 
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    Structured Review

    Philips Healthcare diffusion mri
    Diffusion Mri, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/diffusion+mri/angiography+coronary+quantitative/pm41989408-147-9-23
    Average 86 stars, based on 1 article reviews
    diffusion mri - by Bioz Stars, 2026-11
    86/100 stars

    Images

    Related Articles

    Magnetic Resonance Imaging:

    Article Title: Interrogating cognitive and neural group variation in childhood: Examples in adolescent brain cognitive development and Oregon attention-deficit/hyperactivity disorder-1000 cohorts.
    Article Snippet: .. Children completed high-resolution T1- and T2-weighted structural MRI and diffusion MRI using scanners from GE Healthcare (Waukesha, Wisconsin), Siemens Healthcare (Erlangen, Germany), or Philips Healthcare (Andover, Massachusetts). ..

    Diffusion-based Assay:

    Article Title: Interrogating cognitive and neural group variation in childhood: Examples in adolescent brain cognitive development and Oregon attention-deficit/hyperactivity disorder-1000 cohorts.
    Article Snippet: .. Children completed high-resolution T1- and T2-weighted structural MRI and diffusion MRI using scanners from GE Healthcare (Waukesha, Wisconsin), Siemens Healthcare (Erlangen, Germany), or Philips Healthcare (Andover, Massachusetts). ..

    Software:

    Article Title: Association between baseline blood pressure variability and cardiac mechanics and electrophysiology after acute exposure to high altitude.
    Article Snippet: Echocardiographic examination was conducted using an ultrasound machine (CX50, Philips Ultrasound System, Andover, MA, USA) to obtain LV data. .. Images were digitally saved for subsequent offline analysis with software (QLAB 10.5, Philips Healthcare, Andover, MA, USA). .. Echocardiographic examination was conducted using an ultrasound machine (CX50, Philips Ultrasound System, Andover, MA, USA) to obtain LV data.

    Article Title: The Intelligent Probe – Redefining Transesophageal Echocardiography in the Era of Artificial Intelligence
    Article Snippet: .. 4D LV Analysis is a vendor-independent software from Tomtec (now part of Philips Ultrasound Workspace), available on both TEE and TTE which allows semi-automated measurement of LV function including LV Volumes, LV mass, EF, and Myocardial strain. .. 4D LV Analysis is a vendor-independent software from Tomtec (now part of Philips Ultrasound Workspace), available on both TEE and TTE which allows semi-automated measurement of LV function including LV Volumes, LV mass, EF, and Myocardial strain.

    Article Title: Study on the application of serological indicators combined with ultrasonic cardiogram in predicting recurrence of radiofrequency ablation in atrial fibrillation patients
    Article Snippet: .. In the 3-dimensional mode, QLAB analysis software (Philips Healthcare, Andover) was applied to place 5 marker points at the top of the left ventricle and left atrium, as well as the mitral annular. ..

    Article Title: Study on the application of serological indicators combined with ultrasonic cardiogram in predicting recurrence of radiofrequency ablation in atrial fibrillation patients
    Article Snippet: .. In the 3-dimensional mode, QLAB analysis software (Philips Healthcare, Andover) was applied to place 5 marker points at the top of the left ventricle and left atrium, as well as the mitral annular. ..

    Imaging:

    Article Title: Multimodal deep learning with missing data robustness for enhanced early diagnosis of coronary artery disease using CCTA, clinical, and ECG data
    Article Snippet: .. The internal dataset comprises coronary CT angiography images obtained from three machines: the Philips IQon Spectral CT and the United Imaging UCT760 128-slice. .. The external validation dataset includes images from two machines: the Philips Brilliance 256-slice iCT and the United Imaging UCT860 128-slice (Appendix ).

    Marker:

    Article Title: Study on the application of serological indicators combined with ultrasonic cardiogram in predicting recurrence of radiofrequency ablation in atrial fibrillation patients
    Article Snippet: .. In the 3-dimensional mode, QLAB analysis software (Philips Healthcare, Andover) was applied to place 5 marker points at the top of the left ventricle and left atrium, as well as the mitral annular. ..

    Article Title: Study on the application of serological indicators combined with ultrasonic cardiogram in predicting recurrence of radiofrequency ablation in atrial fibrillation patients
    Article Snippet: .. In the 3-dimensional mode, QLAB analysis software (Philips Healthcare, Andover) was applied to place 5 marker points at the top of the left ventricle and left atrium, as well as the mitral annular. ..



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    Image Search Results


    (A) A view of the [ t − 1 , t + 1 ] layers of a deep feed forward neural network h V , E , σ , w . The input layer (left) is parsed against a “hidden” layer (middle) trained on annotated datasets, which corresponds to the correct output node depending on the weights obtained for each node. (B) The network architecture we propose for use in parameter estimation from diffusion MRI data, h v 0 ; H . In contrast to the traditional feed‐forward neural network, the weightings are checked against the preset test matrix of possible contributing signals. The weights given to each entry of this solution space are then used to generate the corresponding output node. This architecture is theoretically generalizable to any single‐ or multitensor representation of the diffusion MR signal.

    Journal: Human Brain Mapping

    Article Title: Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations

    doi: 10.1002/hbm.70460

    Figure Lengend Snippet: (A) A view of the [ t − 1 , t + 1 ] layers of a deep feed forward neural network h V , E , σ , w . The input layer (left) is parsed against a “hidden” layer (middle) trained on annotated datasets, which corresponds to the correct output node depending on the weights obtained for each node. (B) The network architecture we propose for use in parameter estimation from diffusion MRI data, h v 0 ; H . In contrast to the traditional feed‐forward neural network, the weightings are checked against the preset test matrix of possible contributing signals. The weights given to each entry of this solution space are then used to generate the corresponding output node. This architecture is theoretically generalizable to any single‐ or multitensor representation of the diffusion MR signal.

    Article Snippet: The ex vivo diffusion MRI experiments conducted for this work were performed on a 9.4 T Bruker BioSpec small‐animal MRI system equipped with a volume transmitter coil (RF RES 400 1H 112/086 QSN TO AD) and a H 2 × 2 mouse brain surface array receiver coil (RF ARR 400 1H M.BR.

    Techniques: Diffusion-based Assay

    Axial slices of DBSI and DBSIpy analysis of one representative ex vivo mouse diffusion MRI data. Note that as the b 0 SNR degrades, features in the DBSIpy estimated parameter maps retain good conspicuity. Qualitatively, DBSI parameter maps lack the same contrast‐to‐noise as their DBSIpy counterparts even in the high‐SNR regime. Furthermore, the DBSI parameter maps match or exceed the loss in quality observed in the input data.

    Journal: Human Brain Mapping

    Article Title: Accelerated Diffusion Basis Spectrum Imaging With Tensor Computations

    doi: 10.1002/hbm.70460

    Figure Lengend Snippet: Axial slices of DBSI and DBSIpy analysis of one representative ex vivo mouse diffusion MRI data. Note that as the b 0 SNR degrades, features in the DBSIpy estimated parameter maps retain good conspicuity. Qualitatively, DBSI parameter maps lack the same contrast‐to‐noise as their DBSIpy counterparts even in the high‐SNR regime. Furthermore, the DBSI parameter maps match or exceed the loss in quality observed in the input data.

    Article Snippet: The ex vivo diffusion MRI experiments conducted for this work were performed on a 9.4 T Bruker BioSpec small‐animal MRI system equipped with a volume transmitter coil (RF RES 400 1H 112/086 QSN TO AD) and a H 2 × 2 mouse brain surface array receiver coil (RF ARR 400 1H M.BR.

    Techniques: Ex Vivo, Diffusion-based Assay